#data manipulation
if (!require("dplyr")) {
install.packages("dplyr", dependencies = TRUE)
library(dplyr)
}
## Loading required package: dplyr
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
#drop_na
if (!require("tidyr")) {
install.packages("tidyr", dependencies = TRUE)
library(tidyr)
}
## Loading required package: tidyr
plot(cars)
I have a bright STAT idea